Avatar Animation

Avatar animation research focuses on creating realistic and expressive virtual representations of humans, driven by diverse input modalities like images, text, and motion capture data. Current efforts concentrate on improving the accuracy and efficiency of avatar generation and animation using techniques such as diffusion models, neural networks for pose estimation and style transfer, and large language models for controlling avatar behavior and generating realistic speech. This field is significant for its applications in virtual and augmented reality, gaming, and communication technologies, promising more immersive and interactive experiences. Furthermore, advancements in avatar animation contribute to broader progress in computer vision, natural language processing, and robotics.